Model Length Adaptation of an HMM based Cursive Word Recognition System. - Marc-Peter Schambach (ICDAR, 2003)

Determination of the Number of Writing Variants with an HMM based Cursive Word Recognition System. - Marc-Peter Schambach (ICDAR, 2003)

A new view of the output from word recognition. - Marc-Peter Schambach (IWFHR, 2004)

How Postal Address Readers Are Made Adaptive. - Hartmut Schäfer; Thomas Bayer; Klaus Kreuzer; Udo Miletzki; Marc-Peter Schambach; Matthias Schulte-Austum (Reading and Learning, 2004)

Automatische Modellierung gebundener Handschrift in einem HMM-basierten Erkennungssystem. - Marc-Peter Schambach (2004)

Fast Script Word Recognition with Very Large Vocabulary. - Marc-Peter Schambach (ICDAR, 2005)

Recurrent HMMs and Cursive Handwriting Recognition Graphs. - Marc-Peter Schambach (ICDAR, 2009)

Reviewing Performance Metrics for Handwriting Recognition: Must-Rejects and Recognition Graph Scores. - Marc-Peter Schambach (ICFHR, 2010)

Low resolution Arabic recognition with multidimensional recurrent neural networks. - Sheikh Faisal Rashid; Marc-Peter Schambach; Jörg Rottland; Stephan von der Nüll (MOCR@ICDAR, 2013)

Stabilize Sequence Learning with Recurrent Neural Networks by Forced Alignment. - Marc-Peter Schambach; Sheikh Faisal Rashid (ICDAR, 2013)

Increasing Robustness of Handwriting Recognition Using Character N-Gram Decoding on Large Lexica. - Martin Schall; Marc-Peter Schambach; Matthias O. Franz (DAS, 2016)

Multi-dimensional Connectionist Classification: Reading Text in One Step. - Martin Schall; Marc-Peter Schambach; Matthias O. Franz (DAS, 2018)

Dissecting Multi-line Handwriting for Multi-dimensional Connectionist Classification. - Martin Schall; Marc-Peter Schambach; Matthias O. Franz (ICDAR, 2019)

Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms. - Marc-Peter Schambach; Stephan von der Nüll; Martin Schall (OST@ICDAR, 2019)